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the PhD or previous scientific activities, namely in metabolomics and transcriptomics analysis techniques applied to plants. Demonstrate a strong ability to work in a team, autonomy in carrying out tasks
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duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment ) for further information. Qualification requirements PhD stipends are allocated to individuals who
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
, Meteorology or related fields, ideally to PhD level, or equivalent proven research experience At least one-year relevant work experience Familiarity with satellite data analysis and data assimilation Strong
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://radningarkerfi.orri.is/?s=44538 Requirements Skills/Qualifications Master's degree in biochemistry, chemistry, molecular biology, or related fields Excellent computer or data analysis skills Experience with data analysis
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-experiment data analysis. Preparation of high-impact scientific publications, project reports, and dissemination activities. Supervision and mentoring of MSc and PhD students, including support in experimental
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. Leads and conducts the research using advanced statistical analyses. Consults on the statistical analyses of MSc and PhD students and mentors them in writing code. Conduct data analysis of the MDI
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03: Proven experience in experimental security analysis of quantum key distribution systems (punctuation: 25) Item 04: Personal interview (punctuation: 15) Additional Information Benefits 2562
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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spectrometry; radiopharmaceutical dosimetry with novel agents and/or software techniques; alpha particle RPT radiation biology modeling and analysis of clinical trial data. For additional information on a subset
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have: A PhD (or equivalent) in a relevant discipline (e.g., biostatistics, machine learning, computer science, clinical informatics, natural language processing). Strong skills in data analysis and